Author

Kevin Yu

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#machine learning Preprint Sep 2026

Markovian Dynamics Enforcer: Feasibility Preserving Correction on Learned Dynamics Manifolds

Neural trajectory predictors can reach low prediction error while violating dynamics, actuator limits, or state constraints, especially when controls are unobserved and dynamics are partially specified. We introduce the Markovian Dynamics Enforcer (MaDE), a time-invariant post-hoc operator mapping state-transition prop...

Kevin Yu, Tao Guo, C. Antoniou et al. · 0 citations

Open access Aug 2026

Relation-diffusion augmented network-wide traffic state estimation under sparse sensor deployment

The Relation-Augmented Diffusion Graph Convolution Network (RADGCN), a relation-aware adaptive diffusion framework for traffic state estimation under sparse observations, is proposed, which learns functional relationships among observed nodes using reliable temporal traffic features and graph-aware attention and propag...

Tao Guo, Ningkang Yang, Kevin Yu et al. · Communications in Transporta... · 0 citations